petrophysical-well-logs

A Python toolkit for pairwise stratigraphic correlation analysis among sediment cores and well-log data

Predict thermal properties; thermal conductivity, specific heat capacity and thermal diffusivity.

Petrophysic is a Python library developed to assist in the processing of Nuclear Magnetic Resonance (NMR) data, obtaining parameters such as porosity, T2 components, and permeability, as well as providing tools for data visualization. This project is part of a postgraduate work and aims to provide efficient tools for relaxation data analysis.

Predicted Pore Pressure using a Multi-layer perceptron (MLP) artificial neural network.

🇺🇸 Research in the area of anomaly detection in petrophysical profiles using robust Mahalanobis distance and robust z-score in a flag hierarchy according to uni- and multivariate contribution. 🇧🇷 Detecção de anomalias em perfis petrofísicos utilizando distancia robusta de mahalanobis e z-score robusto em uma hierarquia de flags por contribuição